Deep Belief Network (DBN) [1]} is a hierarchical deep DNN that learns the features from input in an unsupervised, layer-by-layer approach. The layers in DBN are built using Restricted Boltzmann Machine (RBM) comprised of a two-layer architecture in which visible units are connected to hidden units [2]} as shown in Figure REF .
